How to use trained Resnet classification model in python code about paddleclas HOT 5 CLOSED

Hello, you can use the command here to train. https://github.com/PaddlePaddle/PaddleClas/blob/release/2.3/docs/zh_CN/quick_start/quick_start_classification_new_user.md#412-%E4%BD%BF%E7%94%A8%E9%A2%84%E8%AE%AD%E7%BB%83%E6%A8%A1%E5%9E%8B

from paddleclas.

I have trained finished the model. However, how do I use this trained model for inference and how do I integrate this model into my existing codebase?
Is there a function (for example, model.predict(img_array)) in paddleclas that I can call my trained model using python code?

from paddleclas.

you can refer to "4.3 使用本地模型文件预测" in https://github.com/PaddlePaddle/PaddleClas/blob/release/2.5/docs/zh_CN/deployment/image_classification/whl.md

from paddleclas.

Yes. You can refer to here(https://github.com/PaddlePaddle/PaddleClas/blob/release/2.3/ppcls/engine/engine.py#L362) to code.

from paddleclas.

thank you! the code works

from paddleclas.